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Please check [ full list ] if you want :)
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2023
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Imputing Brain Measurements Across Data Sets via Graph Neural Networks,
Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl,
PRedictive Intelligence in Medicine (PRIME 2023) - MICCAI 2023 [PDF][Code]
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Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph,
Yixin Wang, Zihao Lin, Haoyu Dong,
Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML 2023) [PDF][Code]
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Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation,
Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-yu Tong,
Medical Image Analysis [PDF][Code]
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A survey of visual transformers,
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) [PDF][Code]
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Sap-detr: Bridging the gap between salient points and queries-based transformer detector for fast model convergency,
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) [PDF][Code]
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2022
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Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation,
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li,
Medical Image Computing and Computer Assisted Intervention (MICCAI 2022) [PDF][Code]
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Trust it or not: Confidence-guided automatic radiology report generation,
Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He
Under review [PDF]
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Cross-domain few-shot learning for rare-disease skin lesion segmentation,
Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022) [PDF]
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Incorporating Uncertainty into Path Planning for Minimally Invasive Robotic Neurosurgery,
Sarah Frisken, Jie Luo, Nazim Haouchine, Steve Pieper, Yixin Wang, William M Wells, Alexandra J Golby
IEEE Transactions on Medical Robotics and Bionics [PDF]
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All-around real label supervision: Cyclic prototype consistency learning for semi-supervised medical image segmentation,
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong
IEEE Journal of Biomedical and Health Informatics (JBHI) [PDF]
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On the dataset quality control for image registration evaluation,
Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M Wells III, Sarah Frisken
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022) [PDF]
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2021
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ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities,
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He,
Medical Image Computing and Computer Assisted Intervention (MICCAI 2021) [PDF][Code]
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Modality-Pairing Learning for Brain Tumor Segmentation,
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He,
BrainLes, Medical Image Computing and Computer Assisted Intervention (MICCAI 2021) [PDF][Code]
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The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge,
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Nikolaos Papanikolopoulos, Christopher Weight,
Medical Image Analysis 2021, [PDF]
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Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation,
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He,
Computer Methods and Programs in Biomedicine, [PDF]
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2020
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Double-Uncertainty Weighted Method for Semi-supervised Learning,
Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
Medical Image Computing and Computer Assisted Intervention (MICCAI 2020) [PDF]
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Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation,
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang
Medical Physics, [PDF]
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FGB: Feature Guidance Branch for Organ Detection in Medical Images,
Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) [PDF]
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How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study,
Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Gaoxiang Chen, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
Medical Imaging with Deep Learning (MIDL 2020) [PDF][Code]
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Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer,
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, JiangTian, Cheng Zhong, Yang Zhang, and Zhiqiang He
Statistical Atlases and Computational Modelling of the Heart(STACOM 2020), Medical Image Computing and Computer Assisted Intervention (MICCAI 2020) [PDF]
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Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volume,
Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong
2019 Kidney Tumor Segmentation Challenge: KiTS19 [PDF]
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